Julianne M. Chung, SIAM Representative
Dr. Julianne Chung is an associate professor in the Department of Mathematics and the Computational Modeling and Data Analytics Division, Academy of Integrated Science, at Virginia Tech. Prior to joining Virginia Tech in 2013, she was an assistant professor in the Department of Mathematics at the University of Texas at Arlington and an NSF Mathematical Sciences Postdoctoral Research Fellow in the Computer Science Department at the University of Maryland, College Park. She received her PhD in 2009 in the Department of Math and Computer Science at Emory University. She was a Department of Energy Computational Science Graduate Fellow from 2004-2009 and received the DOE Frederick Howes Scholar in Computational Science Award in 2010.
Dr. Chung’s research interests include numerical methods and software for computing solutions to large-scale inverse problems, such as those that arise in imaging applications. In 2017, she was awarded a National Science Foundation CAREER grant for her work on integrated methods for large-scale inversion, and in 2019 she was awarded a Humboldt Research Fellowship for Experienced Researchers.
Annalisa Crannell, AMS Representative
Annalisa Crannell is a Professor of Mathematics at Franklin & Marshall College and recipient of both her college’s and the MAA’s distinguished teaching awards. Her early research was in topological dynamical systems (also known as “Chaos Theory”), but she has become active in working with mathematicians and artists on Projective Geometry applied to Perspective Art. Together with mathematician/artists Marc Frantz and Fumiko Futamura, she is the author of Perspective and Projective Geometry and Viewpoints: Mathematical Perspective and Fractal Geometry in Art. She especially enjoys talking to non-mathematicians who haven’t (yet) learned where the most beautiful aspects of the subject lie.
Yun Kang, AMS Representative
Professor, Science and Mathematics Faculty,
College of Integrative Sciences and Arts,
Past-President University Senate of Polytechnic Campus, ASU
Dr. Yun Kang is a professor of Applied Mathematics in the sciences and mathematics faculty group of the College of Integrative Sciences and Arts (CISA) at Arizona State University. Dr. Kang joined ASU as an assistant professor in 2008, immediately after completing her doctorate in mathematics from ASU. Her primary research interests are mathematical biology and nonlinear dynamical systems theory with applications in biology, life and social sciences. Her research has both theoretical and modeling components with empirical supports. The theoretical component is to study ecological and evolutionary dynamics of complex adaptive systems that are of interest to biologists, ecologists, and epidemiologists. The modeling component is to explore different modeling techniques, based on experiments or important hypotheses, to get a better understanding of quantitatively and qualitatively various aspects of biological/social behaviors, structures, and processes. She has published more than 80 articles in high profile journals of mathematical biology.
Dr. Kang established well-funded research programs in the area of Mathematical Biology; cultivated and launched ASU’s new Undergraduate Program in Applied Mathematics in CISA; mentored numerous graduate and undergraduate students (many of whom are underrepresented and minorities); piloted summer programs to increase minority engagement; and implemented new courses in her college unit. Dr. Kang has been actively involved in encouraging women and girls to study and to have active careers in the mathematical sciences. For example, she serves as American Mathematical Society (AMS) Representative to the Joint Committee on Women in the Mathematical Sciences. Dr. Kang also serves as the treasure and the board of directors of International Society of Difference Equations.
Dr. Cathy Kriloff is a Professor of Mathematics in the Department of Mathematics and Statistics at Idaho State University (ISU). She earned her B.S. in Mathematics from the University of Washington, an M.S. and Ph.D. in Mathematics from the University of Michigan with funding support from the National Science Foundation (NSF) and the Alfred P. Sloan Foundation, and completed a post-doctoral position at Oklahoma State University.
Dr. Kriloff’s research interests began in representation theory of graded Hecke algebras, shifted to include some aspects of graph theory, particularly involving distance spectra and Hamiltonian cycles in Cayley graphs of reflection groups, and more recently involves cohomology of noncommutative algebras, leading to a construction of new degree-one rational Cherednik algebras. The common underlying thread is finite groups generated by reflections.
She has guided undergraduate and graduate student research in graph theory, including the first undergraduate honors thesis in Mathematics at Idaho State University and two doctoral theses, and served as Graduate Director in the department from 2008-2011. Dr. Kriloff has provided editing and served as referee or reviewer for numerous articles and has participated and presented at several MAA and AMS conferences. She has taught a wide range of courses, helped found the ISU Math and Computer Science Club in 1998 and helped actively advise it until 2018, has run two Sonia Kovalevsky Math Days for junior high school girls funded by AWM and NSA, and served from 2006-2009 as co-PI on an NSF ADVANCE Adaptation and Implementation grant directed at advancing female faculty at Idaho State University. In 2013 and 2014 in recognition of her service to students, the department, the university, and the local community she received the Idaho State University Outstanding Public Service Award.
Serving as the Mathematical Association of America’s representative on the Joint Committee for Women is Dr. Kriloff’s first national service role. She very much appreciates the opportunity to work with such an amazing and accomplished group of professional women.
Shili Lin, IMS Representative (Ohio State University)
Dr. Shili Lin is Professor of Statistics at the Ohio State University. Her research interests lie in the development and application of statistical methods to genomic data from population and family samples. Shili Lin joined the statistics faculty in 1995. Prior to that, she was the Neyman Visiting Assistant Professor in the Department of Statistics at the University of California at Berkeley from 1993-1995. She is an active member of and serves the statistical profession in various capacities, including editorial service for various journals (e.g. current Associate Editor (AE) of Biometrics and former AE of the Journal of the American Statistical Association), being a standing member in NIH Study Sections (e.g. Biostatistical Methods and Research Design), and serving professional organizations such as the American Statistical Association (ASA) and the International Biometrics Society. Shili Lin also served as the 2018 Caucus for Women in Statistics (CWS) as President. During her tenure as the President, she led the caucus in several directions to strengthen its impact on the profession. Most notable are her continuing effort to increase the national and international reputation of CWS as a premier organization advocating for women in statistics and data science; and her work, in coordination with ASA, on the Florence Nightingale Day to encourage high school students to pursue educational and career opportunities in statistics and data science. Shili Lin is a Fellow of the ASA (elected in 2004), a Fellow of the American Association for the Advancement of Science (elected in 2009), and an elected member of the International Statistics Institute (elected in 2014).
Sharon Lubkin, SIAM Representative (North Carolina State University)
Sharon Lubkin models mechanical problems in soft tissues – morphogenesis, biomechanics, transport, mechanobiology, drug delivery, and tissue engineering. She has worked in several other areas of biological modeling, primarily in complementary collaboration with experimental biologists. Her research is partially funded by the Simons Foundation, National Science Foundation and National Institutes of Health. She is always interested in new collaborations with biologists and medical researchers, and usually has opportunities for graduate students who are strong in applied mathematics or biomedical or mechanical engineering, and who want to learn how to model what tissues do.
Dr. Lubkin is a Professor in the NCSU department of Mathematics, and is an associate faculty member of the NCSU/UNC department of Biomedical Engineering. She is affiliated with the Quantitative and Computational Developmental Biology research cluster, Center for Research in Scientific Computing and the Center for Quantitative Sciences in Biomedicine. Her advisees have been in various graduate programs: Biomathematics, Applied Mathematics, Biomedical Engineering and Mechanical Engineering.
She is active nationally and internationally. She is the SIAM representative to the Joint Committee on Women in Mathematics (2017-22). She was Publications Chair of the Society for Mathematical Biology (2004-2016) and served (1998-2002) on its Board of Directors.
Marilyn Mays, AMATYC Representative (North Lake College)
Marilyn Mays, Ph.D., served as Executive Dean for Mathematics and Science at North Lake College, Dallas County Community College District, before retiring in 2017. Previously she taught mathematics and computer science and served as coordinator of those areas. She earned a B.A. and M.S. in mathematics from Texas Tech University and a Ph.D. in Computer Science Education from University of North Texas.
Dr. Mays served as President of the American Mathematical Association of Two-Year Colleges (AMATYC), 1993-95, and as a member of the Board, 1987-1997. She was a Commissioner for United States National Commission on Mathematics Instruction of the National Academy of Science (NAS), 1998-2005. Her interests and role as a member of the U.S. Commission led her to participation in the International Congresses on Mathematical Education (ICME) that meet every four years. She created a place at the table for the mathematical communities of two-year colleges, technical institutions, trade schools and other non-university tertiary institutions in future ICME’s. She chaired related sessions for the ICME meetings for the next 12 years.
Most of her recent efforts have been directed at improving equity and diversity in mathematics education at the community college. She created and chaired an equity committee for AMATYC and served on related committees and task forces for the NAS and the MAA.
She received several grants from NSF and the Exxon Education Foundation for improving mathematics education at two-year colleges and for exploring the role of the community college in the Genetics Revolution.
Monnie McGee, PhD, ASA Representative
Dr. Monnie McGee is an Associate Professor in biostatistics and bioinformatics in the Department of Statistical Science at Southern Methodist University in Dallas, Texas. She specializes in analysis of high-throughput biological data and is an expert in background correction, normalization, and hypothesis testing for these techniques. She is also interested in sports analytics, particularly analysis of “individual-team” sports like track & field, swimming & diving, and gymnastics. She has published over 50 articles and has guided many Ph.D. students in the areas of gene expression microarray data, connections between differentially expressed genes and biological pathways, classification of metagenomic data into phylogenetic trees, and analysis of flow cytometry data. Currently, she is working on methods for the comparison of equality of components in compositional data across multiple groups.
Dr. McGee has been heavily involved in interdisciplinary work. For the academic year 2016-2017, she lead a discussion group on “Big Data and Society: The Good, The Band, and The Ugly”, which brought together faculty from law, philosophy, computer science, statistics, and engineering and management information systems to discuss the impact the Big Data has had on societal institutions and personal privacy. She was also instrumental in creating an online Master of Science in Data Science degree and served as its first program director. Dr. McGee was involved in curriculum development for a Master of Applied Statistics and Data Analytics (MASDA) degree, a terminal master’s degree that teaches students skills to analyze increasingly complex data and communicate their results to clients.
Dr. McGee teaches a range of undergraduate and graduate classes in statistics. her graduate level courses include statistical methods and bioinformatics, at both Masters’ and PhD level. Undergraduate courses include nonparametric statistics and statistical computing. Dr. McGee believes in creating an active learning environment in classrooms and is one of the authors of “Just in Time Teaching in the Statistics Classroom” (Journal of Statistics and Data Science Education, 2016), one of the many methods for “flipping” the traditional classroom. Her goal is to help students and the community become citizen statisticians and data scientists through her work in the community and her contributions to the scientific literature.
Dr. McGee holds a B.A. in Mathematics and English from Austin College in Sherman, Texas, and M.A. and Ph.D. degrees in Statistics from Rice University. She was previously a consulting biostatistician at The Rockefeller University in New York City and an assistant professor in mathematics and statistics at Hunter College, CUNY, before coming to SMU as an Assistant Professor in 2002.
Tai Melcher, IMS representative
Tai Melcher is an Associate Professor of Mathematics at the University of Virginia (UVA). Dr. Melcher completed her Ph.D. in mathematics at University of California San Diego in 2004, and after a postdoctoral position at University of California Berkeley, joined the faculty at UVA in 2006. Her research is in problems at the interface of probability, geometry, and analysis. She studies stochastic processes in finite- and infinite-dimensional curved spaces, with a particular focus on various degenerate settings, looking for geometric properties of spaces that still allow for “nice” diffusion properties.
In addition to her research and editorial work, Dr. Melcher is the founder and a co-organizer for Women in Probability, an organization focused on improving the visibility and retention of women researchers broadly in the area of probability. She is the founder and faculty coordinator for UVA Math Ambassadors, a program that provides local mathematics K-12 outreach and training for early career mathematicians in mathematics outreach.
Dr. Juliane Mueller – SIAM Representative
Dr. Juliane Mueller is a staff scientist in the Applied Mathematics and Computational Research Division at Berkeley Lab. She received her Ph.D. in Applied Mathematics from Tampere University of Technology in Finland in 2012. After a postdoctoral appointment at Cornell University, she joined Berkeley Lab in 2014 as the Alvarez Fellow in Computing Sciences.
Dr. Mueller’s research interests are in the development of derivative-free optimization algorithms for compute-intensive black-box problems that arise throughout the domain sciences, including earth sciences, high energy physics, quantum computing, combustion, etc. Mueller believes that efficiently solving optimization problems allows scientists to improve their simulation models, enabling them to better understand underlying physical phenomena, derive sustainable resource use policies, and make more informed decisions. Dr. Mueller can be found in the mountains rock climbing, snowboarding, backpacking, or mountain biking in her free time.
Omayra Ortega, NAM Representative (Sonoma State University)
Omayra Y. Ortega is an assistant professor of mathematics & statistics at Sonoma State University in Sonoma County, California. She earned her Ph.D. (2008) and an M.S. (2005) in applied mathematics and computational sciences from the University of Iowa, where she also was awarded her Masters of Public Health. She earned a B.A. in music and in pure mathematics from Pomona College in 2001.
Dr. Ortega has directed the Mathematical Epidemiology Research Group (MERG), an undergrauduate research group, since 2007. Her scholarly interests reflect her expertise in mathematics: mathematical and computational biology, mathematical epidemiology in developing countries, infectious disease epidemiology, and the participation of women and minorities in sciences. Regarding the latter, she has organized an annual Sonia Kovalesky High School Mathematics Day at several institutions including the University of Iowa, ASU’s West campus, Pomona College, and Sonoma State Unioversity in recognition of the day’s namesake, Sonia Kovalevsky, who was one of the first woman to receive a Ph.D. in mathematics.
Nancy Sattler, AMATYC Representative (Past President of AMATYC, Terra State Community College and Walden University); Co-Chair JCW
Dr. Nancy Sattler is Dean Emerita at Terra Community College and is an adjunct faculty of mathematics. She is a senior contributing faculty member and lead faculty for all master’s level mathematics courses at Walden University in the college of education, and serves on both Walden’s Assessment Committee and Curriculum and Policy (CAP) Committee. Sattler is a past president of the American Mathematical Association of Two-Year Colleges (AMATYC) and has served as Midwest Vice President, Treasurer, and chair of both the Placement and Assessment Committee and the Distance Learning Committee. She was the co-chair for the writing of the AMATYC IMPACT document published in 2018. She serves on the advisory board for Carnegie Math Pathways and AMATYC Project SLOPE. She represented two-year colleges on the Mathematical Sciences Education Board. She is a founding member, past chair, past Treasurer, and current chair and webmaster of the Ohio Mathematics and Science Coalition. She is a past president and historian of OhioMATYC. She is a founding member of the TPSE Math (Transforming Post-Secondary Education in Mathematics) Advisory Group (MAG) and Co-Chair of their Teaching Strategies and Practices Subcommittee. She chaired the Ohio Great Teachers Retreat for over 10 years. In 2012 she was enrolled in the National Technical Honor Society by Vanguard Sentinel Career & Technology Center. In 2014 she was chosen Adjunct Faculty of the Year for the State of Ohio. She has received numerous grants throughout the years and is a member of the MAA and the Ohio Council of Teachers of Mathematics.
Dr. Jennifer C. Schultens, AWM Representative, Co-Chair JCW
Jennifer Schultens was born in 1965 in West Germany to American parents. She attended the Freie Waldorfschule Kassel where she earned her Abitur in 1984. She moved to the USA to study mathematics and Russian at Bryn Mawr College where she graduated magna cum laude in 1988. She earned her Ph.D. at UCSB under the direction of Martin Scharlemann with a dissertation entitled “The classification of Heegaard splittings for some Seifert manifolds” in 1993. She taught at Emory University from 1993 to 2003, earning tenure in 1999. She took a leave from Emory to pursue an NSF postdoc under the direction of Andrew Casson and Rob Kirby at UC Berkeley from 1995 to 1997. She married mathematician Misha Kapovich in 2002 and moved to UC Davis in 2003. Schultens’ work delves into the nuts and bolts of 3-manifolds, especially surfaces of two notable varieties: Incompressible surfaces, which are more or less those whose fundamental group injects into that of the 3-manifold and Heegaard surfaces, which bound handlebodies (3-dimensional fattenings of graphs) on either side. With regard to incompressible surfaces, she envisions an analog of the curve complex promoted up one dimension to encode surfaces in a 3-manifold. With regard to Heegaard surfaces, she tries to understand the relation between distinct Heegaard surfaces in a given 3-manifold and also the totality of such surfaces as encoded in the width complex. She is the author of several research articles on the subject along with two books: Introduction to 3-manifolds and, joint with Saito and Scharlemann, Lectures on generalized Heegaard splittings.
Holly Shulman, ASA Representative
Holly Shulman, MA is a statistician at the Centers for Disease Control and Prevention in the Division of Reproductive Health. She helped develop the methodology for the Pregnancy Risk Assessment Monitoring System (PRAMS), a state-based surveillance system of behaviors, attitudes, and experiences around the time of pregnancy. Her areas of interest include survey research methodology, nonresponse bias analysis, design and analysis of complex survey data, and evaluation of health-related interventions. In addition to her position at CDC, Holly is the principal at Venture Analytics LLC, a statistical consulting firm. In that capacity she provides statistical consulting on survey design, data collection procedures, analysis, and measure development with the aim of generating high-quality survey data for clients.
Holly has been a member of the American Statistical Association (ASA) for over 35 years. She served on the ASA Committee on Women in Statistics for three years, was president of the Caucus for Women in Statistics in 1999, and served as chair of the Gertrude Cox Scholarship committee for seven years awarding scholarship to promising young women who were pursuing graduate degrees in statistics. In 2010 she was appointed to the ASA Leadership Support Council where she had oversight of 10 ASA committees focused on membership recruitment and retention, continuing education, career development, women, and minorities. She held that position for 7 years before being appointed as one of two ASA representatives to the national Joint Committee on Women in the Mathematical Sciences (JCW), where she is in her second term.
Jitka Stehnova, AWM Representative (University of Chicago)
Kimberly Weems, NAM Representative
Kimberly S. Weems is a statistician and associate professor of mathematics at North Carolina Central University (NCCU) in Durham, NC. A native of Georgia, she earned her BS in mathematics with a minor in Spanish from Spelman College. Then, she earned her MA and PhD in applied mathematics with a concentration in statistics from the University of Maryland, College Park. Her research interests include statistical models for count data that exhibit data dispersion.
Weems completed postdoctoral studies in the Department of Statistics at North Carolina State University (NCSU), where she later joined the faculty and served for two years as Co-Director of Statistics Graduate Programs. She is Co-Director of the NCCU-NCSU Bridge-to-PhD program, an interdisciplinary, NSF-funded traineeship that equips students with advanced statistical methods for analyzing atomic-scale data. Weems is a recipient of the NCCU College of Arts and Sciences Excellence in Teaching Award. She is also an advisory board member of the Infinite Possibilities Conference for women of color in mathematics. Additionally, she is the NCCU representative to the Statistical and Applied Mathematical Sciences Institute’s (SAMSI’s) Diversity and Inclusion partnerships and initiatives.
Judy Werner, NCTM Representative
Dr. Judy Werner is a professor of education at Slippery Rock University of Pennsylvania. She teaches mathematics methods courses in the PK-4 certification program and also the mathematics education courses in the M.Ed. K-8 mathematics and science program. She serves as graduate coordinator for the M.Ed. program. Dr. Werner is past-president of Women and Mathematics Education. She served as campus PI on PASSHE system wide NSF grant – Center for Excellence in Teacher Preparation, math and science. And was active in an NYU grant for Mathematics Gender Equity.
As a graduate of Michigan State University, Dr. Werner taught high school mathematics prior to receiving her M.Ed. from Queens College and her doctorate from the University of South Carolina. Before entering the doctoral program at U of SC, Dr. Werner was a full -ime adjunct in the mathematics department at the University of North Carolina- Charlotte.
Slippery Rock University
Dr. Yan Yu, IMS Representative
Yan Yu is the Joseph S. Stern Professor of Business Analytics at the Carl H. Lindner College of Business, at the University of Cincinnati (UC). She is an elected fellow of the American Statistical Association and an elected fellow of the UC graduate school. She earned her Ph.D. in Statistics from Cornell University, with a minor in Finance. She holds an M.S. in applied mathematics from Texas A&M University and a B.S. from the University of Science and Technology of China. She has consulted for Bell Labs, Lucent Technologies; Credit Suisse First Boston; Fifth Third Bank; GE; Duke Energy; Constellation Power; and NIH. Her research interests are statistical methodology, statistical finance, data mining, and data privacy in marketing. Her recent publications appear in the premier journals such as Journal of the American Statistical Association, JFQA, and Marketing Science. Dr. Yu has received various academic awards. She is a frequent speaker at academic institutions and professional conferences. She has served as an Associate Editor for Journal of the American Statistical Association and Statistica Sinica, the leading journals in Statistics. She currently serves as an Associate Editor for Journal of the American Statistical Association and Journal of Business and Economic Statistics. At the University of Cincinnati, she was the recipient of the Westerbeck Faculty Graduate Teaching Award; Lindner Excellence in Service to Research Award; the University Award for Faculty-to-Faculty Research Mentoring; and the University Award for Faculty Excellence. She has served as chair of the Lindner College of Business Research Excellence Committee and served on the UC Research Advisory Board.
Her webpage link can be found at https://business.uc.edu/faculty-and-research/departments/obais/faculty/yan-yu.html